The hospital care experiences of older patients compared to younger patients

A balance of unsafe care incidents and interactive cooperative care: A constructivist grounded theory study of safe care ecosystem for older inpatients

AIMS

To explore older inpatients and their caregivers' care experience and how this relates to the gerontology care practice.

BACKGROUND

Research interest in the conceptualization of safe care for older inpatients was growing, and these studies were predominantly reported from a single or healthcare perspective. There is a shortage of literature on how patients and their caregivers conceptualise safe care.

DESIGN

Constructivist grounded theory.

METHODS

Stage 1 included semi-structured interviews with inpatients. Stage 2 included semi-structured interviews with caregivers and six field notes. Purposive and theoretical sampling were used to recruit 61 participants across six healthcare institutions. Data analysis included initial coding, focused coding, and theoretical coding using constant comparative, field notes and memo writing.

RESULTS

The substantive theory to emerge from the data was A balance of unsafe care incidents and interactive cooperative care. This core concept was informed by four categories: unsafe care incidents, interactive cooperative care, person-centred care, contextual conditions, and one care outcome. The relationships between these categories constituted a balance in which patient-centred care was the core, unsafe care incidents were the barriers, interactive cooperative care was the facilitator, and the result of the balance was the care outcome. The balance constituted a safe care ecosystem under the interaction of contextual conditions.

CONCLUSIONS

Interactive cooperative care is vital in enabling care stakeholders to reduce unsafe care incidents, which facilitates them in achieving safe care and further constructing a healthy care ecosystem.

RELEVANCE TO CLINICAL PRACTICE

This theory identifies barriers and facilitators encountered by care stakeholders to cope with everyday problems and guides them in developing personalised care plans to ensure patient safety.

Geriatric Care Management System Powered by the IoT and Computer Vision Techniques

The digitalisation of geriatric care refers to the use of emerging technologies to manage and provide person-centered care to the elderly by collecting patients' data electronically and using them to streamline the care process, which improves the overall quality, accuracy, and efficiency of healthcare. In many countries, healthcare providers still rely on the manual measurement of bioparameters, inconsistent monitoring, and paper-based care plans to manage and deliver care to elderly patients. This can lead to a number of problems, including incomplete and inaccurate record-keeping, errors, and delays in identifying and resolving health problems. The purpose of this study is to develop a geriatric care management system that combines signals from various wearable sensors, noncontact measurement devices, and image recognition techniques to monitor and detect changes in the health status of a person. The system relies on deep learning algorithms and the Internet of Things (IoT) to identify the patient and their six most pertinent poses. In addition, the algorithm has been developed to monitor changes in the patient's position over a longer period of time, which could be important for detecting health problems in a timely manner and taking appropriate measures. Finally, based on expert knowledge and a priori rules integrated in a decision tree-based model, the automated final decision on the status of nursing care plan is generated to support nursing staff.